Customer Engineer Jobs in Santa Clara, CA
Customer Engineer jobs in Santa Clara are concentrated in the central business corridor around Great America Parkway, the Mission College area, and the tech campuses clustered near the Santa Clara Convention Center, with demand driven by enterprise software, semiconductors, and cloud infrastructure. Companies actively hiring include NVIDIA, Qualcomm, and SiTime. See the openings below and apply to the ones that match your experience.
Find Customer Engineer JobsOverview
Showing 5 of 135+ Customer Engineer jobs
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Software Applications EngineeringGeneral Summary:
Qualcomm is a company of inventors that unlocked 5G, ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G’s potential into world-changing technologies and products.
This is the Invention Age, and this is where you come in.
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of automotive infotainment, ADAS, autonomous driving, and robotics platforms. The Qualcomm Global Automotive team is actively engaged in offering optimized solutions for Automotive Infotainment, Autonomous Driving, and Robotics systems. We are seeking ambitious, bright, and innovative engineers to be part of this initiative.
Job activities span the entire product lifecycle, from early R&D to commercial deployment. The environment is fast-paced and requires cross-functional interaction with globally distributed teams.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
- 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of any combination of academic and/or work experience with debugging techniques.
Responsibilities Shall Include the Following
- Design, integration, and validation of embedded systems based on Qualcomm's Automotive Infotainment, ADAS, and Robotics SoCs and platforms.
- Collaborate with product owners, customers, and domain/technology experts to define requirements and implement technical solutions for customer programs.
- Support Automotive OEMs, Tier-1s , Robotics customers, and ecosystem partners in the integration and deployment of solutions based on Qualcomm platforms.
- Debug and resolve system-level issues involving camera sensors, ISP, multimedia pipelines, synchronization, performance, stability, and software integration.
- Support cameras bring-up, image quality tuning, multimedia integration, and performance optimization on Qualcomm platforms.
- Work closely with software, hardware, systems, and product teams to analyze, debug, and resolve customer-reported issues.
- Develop technical documentation, integration guides, and troubleshooting materials to support customer development and deployment activities.
Minimum Qualifications
- 4+ years of experience in Embedded Systems, Automotive, Camera, Multimedia, Robotics, or related domains.
- Strong proficiency in C/C++ programming and software architecture design.
- Familiarity with camera interfaces and protocols including MIPI CSI-2, I2C, GPIO, V4L2, GMSL, FPD-Link, and SerDes technologies.
- Experience with embedded software development, integration, system bring-up, validation, debugging, and optimization of complex embedded systems, including development in compliance with industry standards such as ISO 26262 and ASPICE.
- Strong understanding of camera systems, camera architectures, Camera ISP, image processing, image quality (IQ), and video pipelines.
- Experience with camera sensor bring-up, sensor drivers, camera framework integration, and end-to-end camera software debugging.
- Experience with 3A algorithms (Auto Exposure, Auto Focus, Auto White Balance), image quality tuning, analysis, debugging, and optimization.
- Strong system-level understanding of camera and multimedia pipelines, with experience in performance analysis, latency optimization, bandwidth optimization, resource utilization analysis, and end-to-end system debugging.
- Experience with automotive camera systems, multi-camera architectures, camera synchronization, frame synchronization, video processing, and time-aligned data acquisition across heterogeneous sensing systems, including Cameras, LiDAR, Radar, IMU, and other ADAS or Robotics perception sensors.
- Strong analytical, issue triage, root cause analysis, and problem-solving skills.
- Excellent communication skills (written and verbal), strong customer engagement skills, and the ability to work effectively in cross-functional and geographically distributed teams.
- Quick adaptability to work with new technologies.
Additional / Preferred Qualifications
- Working knowledge of operating systems such as QNX, Linux, Android, and other RTOSs.
- Experience with Android Camera Framework, Camera HAL, Media Framework, IPC Mechanisms, and Vehicle HAL interface.
- Knowledge of Linux Device Drivers, Embedded Linux, RTOS, Process & Memory Management.
- Strong skills in analyzing performance of software/hardware solutions on multi-core architectures; understanding of multi-core architecture fundamentals (core, cache, memory, bus, PCIe, etc.).
- Experience using debugging tools such as JTAG, Trace32, and oscilloscope/logic analyzer.
- Exposure to Automotive, ADAS, and Robotics product development.
- Exposure to Hypervisors and Virtualization.
- Experience working with Qualcomm Snapdragon Automotive, ADAS, Robotics, Camera ISP, or Multimedia software stacks.
- Familiarity with Computer Vision, OpenCV, AI/ML frameworks, and image-processing applications for automotive and robotics systems.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$125,400.00 - $188,200.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Software Applications EngineeringGeneral Summary:
Qualcomm is a company of inventors that unlocked 5G, ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G’s potential into world-changing technologies and products.
This is the Invention Age, and this is where you come in.
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of automotive infotainment, ADAS, autonomous driving, and robotics platforms. The Qualcomm Global Automotive team is actively engaged in offering optimized solutions for Automotive Infotainment, Autonomous Driving, and Robotics systems. We are seeking ambitious, bright, and innovative engineers to be part of this initiative.
Job activities span the entire product lifecycle, from early R&D to commercial deployment. The environment is fast-paced and requires cross-functional interaction with globally distributed teams.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
- 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of any combination of academic and/or work experience with debugging techniques.
Responsibilities Shall Include the Following
- Design, integration, and validation of embedded systems based on Qualcomm's Automotive Infotainment, ADAS, and Robotics SoCs and platforms.
- Collaborate with product owners, customers, and domain/technology experts to define requirements and implement technical solutions for customer programs.
- Support Automotive OEMs, Tier-1s , Robotics customers, and ecosystem partners in the integration and deployment of solutions based on Qualcomm platforms.
- Debug and resolve system-level issues involving camera sensors, ISP, multimedia pipelines, synchronization, performance, stability, and software integration.
- Support cameras bring-up, image quality tuning, multimedia integration, and performance optimization on Qualcomm platforms.
- Work closely with software, hardware, systems, and product teams to analyze, debug, and resolve customer-reported issues.
- Develop technical documentation, integration guides, and troubleshooting materials to support customer development and deployment activities.
Minimum Qualifications
- 4+ years of experience in Embedded Systems, Automotive, Camera, Multimedia, Robotics, or related domains.
- Strong proficiency in C/C++ programming and software architecture design.
- Familiarity with camera interfaces and protocols including MIPI CSI-2, I2C, GPIO, V4L2, GMSL, FPD-Link, and SerDes technologies.
- Experience with embedded software development, integration, system bring-up, validation, debugging, and optimization of complex embedded systems, including development in compliance with industry standards such as ISO 26262 and ASPICE.
- Strong understanding of camera systems, camera architectures, Camera ISP, image processing, image quality (IQ), and video pipelines.
- Experience with camera sensor bring-up, sensor drivers, camera framework integration, and end-to-end camera software debugging.
- Experience with 3A algorithms (Auto Exposure, Auto Focus, Auto White Balance), image quality tuning, analysis, debugging, and optimization.
- Strong system-level understanding of camera and multimedia pipelines, with experience in performance analysis, latency optimization, bandwidth optimization, resource utilization analysis, and end-to-end system debugging.
- Experience with automotive camera systems, multi-camera architectures, camera synchronization, frame synchronization, video processing, and time-aligned data acquisition across heterogeneous sensing systems, including Cameras, LiDAR, Radar, IMU, and other ADAS or Robotics perception sensors.
- Strong analytical, issue triage, root cause analysis, and problem-solving skills.
- Excellent communication skills (written and verbal), strong customer engagement skills, and the ability to work effectively in cross-functional and geographically distributed teams.
- Quick adaptability to work with new technologies.
Additional / Preferred Qualifications
- Working knowledge of operating systems such as QNX, Linux, Android, and other RTOSs.
- Experience with Android Camera Framework, Camera HAL, Media Framework, IPC Mechanisms, and Vehicle HAL interface.
- Knowledge of Linux Device Drivers, Embedded Linux, RTOS, Process & Memory Management.
- Strong skills in analyzing performance of software/hardware solutions on multi-core architectures; understanding of multi-core architecture fundamentals (core, cache, memory, bus, PCIe, etc.).
- Experience using debugging tools such as JTAG, Trace32, and oscilloscope/logic analyzer.
- Exposure to Automotive, ADAS, and Robotics product development.
- Exposure to Hypervisors and Virtualization.
- Experience working with Qualcomm Snapdragon Automotive, ADAS, Robotics, Camera ISP, or Multimedia software stacks.
- Familiarity with Computer Vision, OpenCV, AI/ML frameworks, and image-processing applications for automotive and robotics systems.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$125,400.00 - $188,200.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
See All 135+ Customer Engineer Jobs in Santa Clara
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Find Customer Engineer JobsCustomer Engineer Job Market in Santa Clara
Who's Hiring
- NVIDIA27
- Qualcomm27
- SiTime18
- Applied Materials18
- Selector9
Top Industries Hiring
- Technology & Software27
- Electronics & Hardware27
- Manufacturing9
Customer Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a customer engineer job in Santa Clara?
Focus your search on Santa Clara's semiconductor, enterprise software, and cloud infrastructure sectors, which concentrate along Great America Parkway and the Mission College corridor. Employers here prioritize hands-on lab experience, familiarity with complex hardware or SaaS platforms, and the ability to manage technical relationships with enterprise accounts. Candidates who can demonstrate deployment experience or pre-sales engineering exposure tend to move faster through hiring pipelines in this market.
Which companies hire customer engineers in Santa Clara?
Santa Clara customer engineer roles are posted by NVIDIA, Qualcomm, and SiTime and others right now, based on current listings on Migrate Mate as of November 2026. Santa Clara's employer base skews heavily toward global tech manufacturers, chip designers, and enterprise platform vendors with large on-site engineering and customer success teams.
Are there remote customer engineer jobs in Santa Clara?
Yes, though customer engineer work is often hands-on and tied to physical installations or on-site client meetings, making fully remote roles less common than in purely software-focused disciplines. About 0% of customer engineer openings tied to Santa Clara are remote or hybrid as of November 2026, reflecting a mix of posting types. Account management, technical enablement, and cloud-focused roles are the most likely to offer remote flexibility in Santa Clara.
How can I get a customer engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through associate or junior customer success engineer roles at mid-size SaaS companies and semiconductor equipment firms in the Mission College and Great America areas, which often hire candidates with strong technical degrees even without direct field experience. Lateral moves from technical support, solutions consulting, or inside sales at local enterprise vendors also open doors. Building familiarity with the specific platforms dominant in Santa Clara's hardware and cloud sectors gives entry-level candidates a clear edge.
Which industries hire the most customer engineers in Santa Clara?
Santa Clara customer engineer roles concentrate in Technology & Software, Electronics & Hardware, and Manufacturing, based on current listings on Migrate Mate as of November 2026. Santa Clara's position as a global hub for semiconductor design, enterprise networking, and cloud infrastructure means these sectors generate consistent, high-volume demand for customer-facing technical talent year-round.
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